instadeepai / gtc-course-2020Links
Tutorial on Multi-Agent Reinforcement for Train Scheduling
☆11Updated 5 years ago
Alternatives and similar repositories for gtc-course-2020
Users that are interested in gtc-course-2020 are comparing it to the libraries listed below
Sorting:
- Toy environment set for multi-agent reinforcement learning and more☆40Updated 9 months ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- This project was moved to: https://github.com/coax-dev/coax☆160Updated 2 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- RUDDER: Return Decomposition for Delayed Rewards☆48Updated 5 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆90Updated 6 years ago
- ☆101Updated last year
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 5 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆52Updated 2 years ago
- Reinforcement learning library in JAX.☆100Updated last year
- Revisiting Rainbow☆75Updated 4 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆72Updated 3 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated 2 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- ☆71Updated 2 years ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆41Updated 3 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Updated 4 years ago
- Reinforcement Learning Assembly☆92Updated 4 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Updated 3 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Clone of OpenAI's Spinning Up in PyTorch☆153Updated 3 years ago
- self-studying the Sutton & Barto the hard way☆199Updated 3 years ago
- Let's solve the flatland challenge!☆73Updated last year
- 🤖 Reinforcement Learning paper summaries, notebooks, and articles.☆26Updated 5 years ago
- PyTorch code to train and evaluate Procgen tasks☆25Updated 4 years ago